Computing subgraph frequencies is a fundamental task that lies at the core of several
network analysis methodologies, such as network motifs and graphlet-based metrics, which …

In recent years, there has been a great interest in studying different aspects of complex
networks in a range of fields. One important local property of networks is network motifs …

Probability models on graphs are becoming increasingly important in many applications, but
statistical tools for fitting such models are not yet well developed. Here we propose a …

Many economic activities are embedded in networks: sets of agents and the (often) rivalrous
relationships connecting them to one another. Input sourcing by firms, interbank lending …

Subsampling bootstrap of count features of networks Page 1 The Annals of Statistics 2015, Vol.
43, No. 6, 2384–2411 DOI: 10.1214/15-AOS1338 © Institute of Mathematical Statistics, 2015 …

Motifs are the fundamental components of complex systems. The topological structure of
networks representing complex systems and the frequency and distribution of motifs in these …

Complex networks from domains like Biology or Sociology are present in many e-Science
data sets. Dealing with networks can often form a workflow bottleneck as several related …

Dyadic data, where outcomes reflecting pairwise interaction among sampled units are of
primary interest, arise frequently in social science research. Regression analyses with such …

Small over-represented motifs in biological networks often form essential functional units of
biological processes. A natural question is to gauge whether a motif occurs abundantly or …

A simple stochastic process is described which provides a useful basis for generating some
types of random networks. The process is based on an iterative building block technique that …